UsingFloatingCarDatatoInvestigateRelationshipsbetweenSpeedandSafetyonUrbanArterials

UsingFloatingCarDatatoInvestigateRelationshipsbetweenSpeedandSafetyonUrbanArterials.pdf
Urbanarterialsfeaturelargetrafficvolumesandseveretrafficsafetyconditions.Forthepurposeofimprovingtrafficsafety,thekeyissueistoidentifycrashoccurrencecontributingvariables,ofwhichspeedarousesattentionincreasingly.FloatingCarDataobtainedbytaxisequippedwithGlobalPositioningSystem,wereusedinthestudytocapturethefeaturesofspeedalongasegment.Basedonatotalof234onedirectionroadsegmentsfrom8arterials,thisstudyaimsatanalyzingsafetyperformanceconsideringaveragesegmentspeed.Regardingdatastructureasarterial-levelandsegment-level,BayesianhierarchicalPoissonlog-normalmodelwasdeveloped.Inaddition,MaximumLikelihoodEstimationpriorwasadoptedtoimproveestimatesreliability.Resultsindicatedaveragesegmentspeedwasnegativelyassociatedwithcrashoccurrence;othervariables(e.g.densityofsignalspacing,segmentvolume,segmentlength,numberoflanes,numberofphases,bus-onlylane)werealsosignificantlyassociatedwithcrashes.
作者：FanTianxiang WangXuesong
作者单位：TheKeyLaboratoryofRoadandTrafficEngineering,MinistryofEducation,TongjiUniversity,4800Cao'anRoad,JiadingDistrict,Shanghai201804,ChinaJiangsuProvinceCollaborativeInnovationCenterofModernUrbanTrafficTechnologies,SiPaiLou＃2,Nanjing210096China
母体文献：第十届中国智能交通年会论文集
会议名称：第十届中国智能交通年会  
会议时间：2015年11月4日
会议地点：无锡
主办单位：中国智能交通协会
语种：chi
分类号：
关键词：UrbanArterial  FloatingCarData  BayesianModel  MaximumLikelihoodEstimationPrior
在线出版日期：2018年11月21日
基金项目：
相似文献
相关博文

UsingFloatingCarDatatoInvestigateRelationshipsbetweenSpeedandSafetyonUrbanArterials.pdf

文件大小:

992.77 KB

高速下载